class_docstr: Base class for objects that visually represent data.
code: def _infer_orient(self, scales: dict) -> str:  # TODO type scales
      # TODO The original version of this (in seaborn._base) did more checking.
      # Paring that down here for the prototype to see what restrictions make sense.
  
      # TODO rethink this to map from scale type to "DV priority" and use that?
      # e.g. Nominal > Discrete > Continuous
  
      x = 0 if "x" not in scales else scales["x"]._priority
      y = 0 if "y" not in scales else scales["y"]._priority
  
      if y > x:
          return "y"
      else:
          return "x"
  
imports: from __future__ import annotations
  from dataclasses import dataclass, fields, field
  import textwrap
  from typing import Any, Callable, Union
  from collections.abc import Generator
  import numpy
  import pandas
  import matplotlib
  from numpy import ndarray
  from pandas import DataFrame
  from matplotlib.artist import Artist
  from seaborn._core.scales import Scale
  from seaborn._core.properties import PROPERTIES, Property, RGBATuple, DashPattern, DashPatternWithOffset
  from seaborn._core.exceptions import PlotSpecError
label_desc: Use image node_id 4 for calling the Mark obj's underlying member method code with example usage: obj._infer_orient(scales) and returns: str, str